CIO Business Intelligence

SEPTEMBER 19, 2023

Rolls-Royce has also found use for AI in predictive maintenance to improve the efficiency of jet engines and reduce the amount of carbon their planes produce, while also streamlining maintenance schedules through predictive analytics. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

datapine

MAY 2, 2023

Working with a mix of historic (trend-based), real-time, and predictive insights, everyone on your team will be able to make valuable strategic suggestions, take active measures to spot any spiraling trends before they cause organizational damage, and keep on top of every process or operation with pinpoint precision. Now’s the time to strike.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

APRIL 12, 2022

In addition to these considerations, look for capabilities that can make your choice of AIOps solution future-proof: Cross-stack analytics: Most organizations run their workloads on a combination of containers, virtual machines, and bare metal. Application-level insights: Visibility shouldn’t stop at the virtualized software layer.

Digital Transformation 145

Digital Transformation B2B Enterprise IoT 145

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Edge Computing (and Edge Analytics): Industry 4.0: NLG is a software process that transforms structured data into human-language content. See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. Predictive analysis: As its name suggests, the predictive analysis method aims to predict future developments by analyzing historical and current data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

APRIL 22, 2020

Professor Dimitris Bertsimas of the MIT Sloan School of Management — plus almost two dozen other researchers — used these data classes to develop what they call the COVIDanalytics platform. The platform uses machine learning to predict patient outcomes based on their progression and characteristics.

Big Data 110

Big Data Machine Learning Risk Interactive 110

IBM Big Data Hub

FEBRUARY 14, 2024

Generative AI can produce high-quality text, images and other content based on the data used for training. IBM Research is working to help its customers use generative models to write high-quality software code faster, discover new molecules , and train trustworthy conversational chatbots grounded on enterprise data.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Smart Data Collective

JULY 9, 2019

There are several software solutions on the market that can assist you with getting a better handle on your audience relatively easily. Companies are able to better understand why an individual product is more enticing to one age group than another.

Big Data 110

Big Data Optimization Interactive Sales 110

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

JUNE 14, 2023

Cloud computing helps organizations manage data collection and storage remotely, eliminating the need for on-premises software and hardware and increasing data visibility in the supply chain. Optimize workflows by analyzing data from multiple sources (e.g.,

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

datapine

AUGUST 29, 2022

2) Designing Data-Intensive Applications by Martin Kleppman. Best for : Software engineers looking to learn the fundamentals of designing data-intensive applications, the pros, and cons of the different technologies available, as well as key concepts needed to succeed in the process.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

NOVEMBER 19, 2019

AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Jet Global

MAY 21, 2020

In addition to the traditional budget considerations, future trends in education — such as the rapid growth of online learning, digital credentialing, smart campuses, wireless presentations, and predictive analytics — will require financial analysis to determine where the institution’s money should be spent. Admissions and enrollment.

Finance 98

Finance KPI Forecasting Data-driven 98

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 316

Enterprise Deep Learning Data Governance Risk 316

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

FineReport

JULY 18, 2022

Some data analysis software demands high-level coding knowledge, while others are almost zero-code tools. After identifying the above factors, we can start to take a look at the popular data analysis software. Here I list 15 excellent tools for data analysis, among which there must be the one that fits you best.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

datapine

JANUARY 31, 2022

Your Chance: Want to try a professional BI analytics software? The main use of business intelligence is to help business units, managers, top executives, and other operational workers make better-informed decisions backed up with accurate data. Your Chance: Want to try a professional BI analytics software?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. Commercial vs. Internal Apps Any organization that develops or deploys a software application often has a need to embed analytics inside its application. Which industries are adopting embedded analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52